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Paper Citation Record · LEDGER

Leveraging OS-Level Primitives for Robotic Action Management

As of 17 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 3 inbound Pith citation observations for arXiv:2508.10259.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.10259 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:38:46.276434Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:27:00.283283Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T09:09:43.373684Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved77
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50c38314-2014-4375-a54e-eff18d80275b · outbound

This paper cites Survey on Vision-Language-Action Models.

Leveraging OS-Level Primitives for Robotic Action Management Survey on Vision-Language-Action Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:38:47.520431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.112359Z digest=sha256:df755187d3fdfaa28d1bce1f62f373a57eeaf1911adb6044a4bcc317fed71769

Observation ba5700c1-d379-457d-9b22-d536e652a461 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Leveraging OS-Level Primitives for Robotic Action Management $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

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unresolved
no resolver link, observed 2026-08-05T20:38:38.197244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.197244Z digest=sha256:2e4442ff2eeaaba22be332f1359dc7a9f6ae0ed9683e6fbd42ea6c8a22509ee9

Observation cae663c9-ceef-46cb-8ddc-516ed1e9dc8d · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Leveraging OS-Level Primitives for Robotic Action Management RT-1: Robotics Transformer for Real-World Control at Scale

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.305098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.305098Z digest=sha256:10c24e6e1d7a0b28767f3a00d0175afb84744b11ccfd7ea98ec438d192404682

Observation 45c6faf0-e8f1-4f7a-963f-afdc0de7c27e · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.358185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.358185Z digest=sha256:ab37bbe660e2e652b4cd975a78fee68f45659a8a990cbe02706850ce0848adb9

Observation 8c1d614d-5707-49b4-9aab-0480f22bf9a6 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:49.173589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.469328Z digest=sha256:6064e51471ed5d7c033e03b4865e57ed04911ebceb23c45427b05691518dcad2

Observation 3b09ff90-3f49-4f79-bc99-878ab5d09370 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:49.047796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.534384Z digest=sha256:f3cf4b2a9d2ab760ac0d81b84f1f0681544b2dbd1a31899badae5057395d8965

Observation 43674fde-3ad9-4853-b1ae-3dd2d8616ea4 · outbound

This paper cites PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.620498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.620498Z digest=sha256:d91517ea248cc3677d0b88df2f0aef174cb04ac3be2d2ba069b61145e31bb2eb

Observation 75c3b04c-bfeb-49f9-acab-b9a942315360 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.773424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.658604Z digest=sha256:7f226f508445c30ea78b8b2048886cb52ef7e852a9a146f9daee35094670b410

Observation 8a647b8e-5a2a-4d68-a50e-0c29797d0541 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.609461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.725085Z digest=sha256:879c2224ee745db8dfb35eb621af2120e83a9fe8639ad09f22a1974cd9b143a4

Observation d7c7fbfe-b78c-4747-8478-17e2e47e1e4b · outbound

This paper cites Redefining Robot Generalization Through Interactive Intelligence.

Leveraging OS-Level Primitives for Robotic Action Management Redefining Robot Generalization Through Interactive Intelligence

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:38:47.114463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.856590Z digest=sha256:45ddf9e7f7c9c8a4f5dfad7a88b44f51122a0f38daf9b43c791dc5494d202d93

Observation fb76f9a9-17b2-4f90-b093-99e08d4f52f6 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Leveraging OS-Level Primitives for Robotic Action Management An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:38.923186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:38.923186Z digest=sha256:d2c1f4421580f1970dbc5c04cc2f109114f64595d04cf65ff1ae5418ffe11619

Observation 44adf594-0876-4287-bf5a-e3496a99d87f · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.208702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:39.013896Z digest=sha256:68d7e2a1e644fa554db15d398b5002d8f624f250d8f13af0b3eac7915d9bc35f

Observation c992e6bd-060c-426c-ba95-d001f488074b · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:47.886733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:39.139114Z digest=sha256:16b487bbcf2e4b7b4f2293878f9397e8eedfb2222dbbc516d68260d72de14b01

Observation 1a051527-a39c-4b26-a738-5f2f70742715 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.207842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.207842Z digest=sha256:08a87fd0b39a4f4ea16b58487ab40c6c6168f4a86a1d613403360760db29f383

Observation dfe816bc-fd71-4428-a8e2-53df9beca94e · outbound

This paper cites In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Leveraging OS-Level Primitives for Robotic Action Management In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:38:48.032783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:39.088147Z digest=sha256:d6b755ff491184adb7d8241e4142bd1d734bcd7d591eaffa22f628ccb4116498

Observation d8d751b2-fc5c-4fbf-8159-3cefec194abb · outbound

This paper cites AgentRefine: Enhancing Agent Generalization through Refinement Tuning.

Leveraging OS-Level Primitives for Robotic Action Management AgentRefine: Enhancing Agent Generalization through Refinement Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.405045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.405045Z digest=sha256:2a5961daadd787ab86da1038f07008c04f28475f4dcd4c08aa41ec7de49bfdb4

Observation b802b9b0-a499-410a-bee5-02d954e23967 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Leveraging OS-Level Primitives for Robotic Action Management Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.493269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.493269Z digest=sha256:8f095a959bd91bfe2fc4cf763f2cbcc8ee4a855f5b4e89042de3f36eda5aa5fd

Observation fc9e761e-7607-4874-bb17-91c0fdba6572 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.310656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.310656Z digest=sha256:902f7e7f6e1d1cfd75ab89d08f999f22c2688da9dfb2ae3ea853ec665a31cefd

Observation 93bd19d0-3cf2-459d-b405-cd1f5ad31ab5 · outbound

This paper cites Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.577431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.577431Z digest=sha256:441389a1e1ae13b329f3cc0d9940f1c51c4e101e74159ebf432f3285b6f25c6e

Observation a7fe4daa-d1b3-4bf5-835d-fea0c1e5b40c · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.632478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.632478Z digest=sha256:945b9869bd0db05acc42c9cc8abb26af3822b35d2923dde858ab4f6a4415a093

Observation 9a1db8d8-463f-40cc-be6a-dff35ec6d414 · outbound

This paper cites One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers.

Leveraging OS-Level Primitives for Robotic Action Management One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.538416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.538416Z digest=sha256:d73bb55ce7149eef4395abc661ec701ced0217eb0fb23d833e772ffd2a15ffcd

Observation 007bf13f-9e7e-40c3-9a18-5e361ad75748 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.894484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.894484Z digest=sha256:6244f851d6954364c77d706d0053ba5e19310bacec941fe4664ce964478fc1e2

Observation cd37d08d-cc3e-430e-9226-c59979728f02 · outbound

This paper cites Improving Vision-Language-Action Model with Online Reinforcement Learning.

Leveraging OS-Level Primitives for Robotic Action Management Improving Vision-Language-Action Model with Online Reinforcement Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.022379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.022379Z digest=sha256:219461d003d6a5db946be9f6b1fe9062ff34f1843836d78749a0adb945382c4a

Observation 986f786c-eaff-41b2-9b45-80bec223df29 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Leveraging OS-Level Primitives for Robotic Action Management Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:39.765439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:39.765439Z digest=sha256:846274d5dd1850c504d3ea342d368d33c6275768bdbd9674bdf121f37beea78f

Observation 77f6fd8f-3d92-47dc-981a-a7cbc7c3b8b9 · outbound

This paper cites Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy.

Leveraging OS-Level Primitives for Robotic Action Management Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.247428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.247428Z digest=sha256:1f3d424458911618453119e117cf351c4d0760ec52fb5e97bc61be8b62546340

Observation 24ecbe40-dbd9-422c-8377-a3235c9407a2 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.387235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.387235Z digest=sha256:f9f12876776058d9bd5e40ac5c3bf994edc664f1e7eceb8ea94d6b0118de897c

Observation ffdcf982-a7bd-45a5-b661-9ff456edd092 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.138135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.138135Z digest=sha256:8d2621e22653b62c742e67730d4960765d4ae5604d1b2fee0ddce83d1847e3e8

Observation 745c3dd1-4091-4cff-bdcb-de0541cdedf8 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.599533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.599533Z digest=sha256:20af9023dec1487c74f6dbb9f4650d39a67a049e6684d89ac97dea0763ee57ee

Observation f16655d5-d93c-4fca-8c62-7c70758c6061 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.762546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.762546Z digest=sha256:709bff370d195742164925e18972d8d9a2b25b014651a388a53882bf4524b8f6

Observation c5dd2cf2-b8d7-45d0-be65-549f5cd14ec3 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.497683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.497683Z digest=sha256:0d9d7621d2c3422e5817d8dbea2229c806f42760667d4f230afd449db5df3f14

Observation 2f2b571a-d2e4-436e-a42d-730c70eedb89 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.011530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.011530Z digest=sha256:a026516eefb257be6f8233834bb69e6e166fe77ec05e5650e58eb71e2b60eb19

Observation 70e88230-7760-4ce3-a249-b66835c78e85 · outbound

This paper cites A Survey on Vision Autoregressive Model.

Leveraging OS-Level Primitives for Robotic Action Management A Survey on Vision Autoregressive Model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.253154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.253154Z digest=sha256:11db48903b8f913d299482cb8e259c4f92048f19dc44ea20087b464b080e9bc9

Observation a44a4463-2bec-40ce-9418-4091858b836c · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:40.867223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:40.867223Z digest=sha256:8d0330d3a70679e2294e7de83baf1903f550776d83380154c32d2514abfff509

Observation 33912d29-07c8-4efc-9040-21dc57d0d518 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Leveraging OS-Level Primitives for Robotic Action Management Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.636141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.636141Z digest=sha256:2fab484e5017ae525683c9ff43623f99fbb875cb45013cd5e5df8225f7f3fc20

Observation 3b853cf1-eac7-4905-922f-a42a17d648a4 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Leveraging OS-Level Primitives for Robotic Action Management OpenVLA: An Open-Source Vision-Language-Action Model

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.695214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.695214Z digest=sha256:ee1dc43fe31c4370b5b737aa500cb90708d307410b0587ad56b6e12f1ae74595

Observation a2f01aa1-124b-4904-bbf7-3c9da6d13da6 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.794200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.794200Z digest=sha256:e572194ed966c9e15f485319ee633d245cef592737646ba991b83151ab1e5752

Observation d699b865-8c1d-44f1-a9ba-d9af2149e50a · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:41.388738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.388738Z digest=sha256:e5dff93fdfbe02b1e14c9f1de5f8c85a9f851fa86a32a75dcf15318f93c98630

Observation 820bb12e-1f65-4484-be89-d4cdcccc75e4 · outbound

This paper cites LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Leveraging OS-Level Primitives for Robotic Action Management LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T20:38:42.017846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:42.017846Z digest=sha256:644adc423a93fea263cc1780ef6ab7fff47b0f2af52dbe7ad85e47a187b808f5

Observation 0d02f691-cd69-43b9-8954-4caf59dba4b9 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 39

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Observation f87158a1-f677-4968-b133-29369c1328eb · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-05T20:38:42.143723Z digest=sha256:c68c9b2ac20142456b84a6e98ed6f47b5c76055dec2aaa4ad2313f96cfe67093

Observation b3fcf994-e460-4f42-8240-76962e492f26 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-05T20:38:42.249224Z digest=sha256:8c701b39e682d731e735eedaeb9b45d1961b0d054f8471ee7b8d30284c656bdd

Observation c8c39f14-9d8a-49cd-9fac-a13b11c827de · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

Leveraging OS-Level Primitives for Robotic Action Management Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 42

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source=pdf_text observed=2026-08-05T20:38:41.925978Z digest=sha256:51d14e451caeec97981b04701069669c72754681769466e710169dcb96e42ad8

Observation 9ac588ec-41f8-463c-b169-d42630ca8290 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-05T20:38:42.425567Z digest=sha256:bc547b37e640fe82768384a562dfb56ca6190987aedf6277eb137e1497293e3f

Observation 2e05edd1-ed97-436a-9103-b6ecdc6d47dc · outbound

This paper cites Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers.

Leveraging OS-Level Primitives for Robotic Action Management Language Conditioned Multi-Finger Dexterous Manipulation Enabled by Physical Compliance and Switching of Controllers

Reference 44

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source=pdf_text observed=2026-08-05T20:38:42.534531Z digest=sha256:4cd14ce39b9fe2de6cc70e10e97ef1c138dc07b7816a3c071d4d7db695fcbbf2

Observation 95fa8c72-bec5-400d-ba15-c5c5c97d9549 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-05T20:38:42.655252Z digest=sha256:7eff043de41c8eceabc0066ed02803d24b4ea4a5e94105b37fb9ea21135485c6

Observation 52a0cf88-eec8-4645-b428-aa74942be16b · outbound

This paper cites Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control.

Leveraging OS-Level Primitives for Robotic Action Management Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control

Reference 46

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source=pdf_text observed=2026-08-05T20:38:42.813346Z digest=sha256:89aaf08398c037460fc89cb97e58da8f4a021271c986481502f4fe6bbc66d231

Observation 1272386a-855e-4b88-b10d-489b933db069 · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 47

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source=pdf_text observed=2026-08-05T20:38:42.321331Z digest=sha256:f6ad519fe402ec83c45bbad01aa67811b7a0d9ee1412104362db05265b53a4b6

Observation 75d4bb18-9588-470a-a7e5-0b9377686ee4 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Leveraging OS-Level Primitives for Robotic Action Management Learning Transferable Visual Models From Natural Language Supervision

Reference 48

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source=pdf_text observed=2026-08-05T20:38:43.083639Z digest=sha256:23be51ce66cb63f1483a0b1c2458dd9ec79735a1abec7382ba5d1184b2aeeef6

Observation 7d12d85b-5dd0-459e-88a9-bfdd02fd64ba · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-05T20:38:43.203247Z digest=sha256:99301a08ff88745797bb58e58e07efd632af5d613c5a194839a5def47a703267

Observation 5728d345-d218-4280-a44c-773b3a1f2be8 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-05T20:38:43.357937Z digest=sha256:8b987c0bdbd28db42fdb63e4f1856caae38e1ad8789dc9613b5c700cd2ed9348

Observation 386c7420-4f95-4adc-97e8-7b7c1d36ada8 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-05T20:38:43.439070Z digest=sha256:ec78fb63348761edc241d5eee096c2bb9d550018671bdf731e8bed5c1d3a051d

Observation bd557c63-484d-40f1-856b-a2b5012b244e · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Leveraging OS-Level Primitives for Robotic Action Management FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 52

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source=pdf_text observed=2026-08-05T20:38:42.966861Z digest=sha256:aece3f5e8cfed82750af035d17398f1eca2a211c50d81d50a5daf06691ccda67

Observation 1015588b-02ed-40d5-a95d-9be60b4d86fe · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Leveraging OS-Level Primitives for Robotic Action Management ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 53

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source=pdf_text observed=2026-08-05T20:38:43.638906Z digest=sha256:1d1083274f97a81dfd1bdc6f8098c6f194cc7e7d6d420e888c2865fb534193a6

Observation b7f7b9fa-5d51-45b9-98d6-6e6aa52a8361 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-05T20:38:43.743226Z digest=sha256:7639f328c82005ec21f8e8733afcc0c923eb58a93645f2e4b47246800566bbb8

Observation b134b103-e6b7-425c-819e-ac29f509b00c · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

Leveraging OS-Level Primitives for Robotic Action Management Octo: An Open-Source Generalist Robot Policy

Reference 55

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source=pdf_text observed=2026-08-05T20:38:43.846738Z digest=sha256:1e4d1d2b1d445a93cb7e13854455d57ccabb134f2abd60a667279977a220f80e

Observation 304e3ec0-ff3c-44d2-9e85-ad62d2c97001 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-05T20:38:43.957961Z digest=sha256:5e5cd48eef2a792398a0563dea50e056d67184836449880f065f596dcdf2904a

Observation 26e4bcff-2705-41f4-b00e-fdb115277c2b · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-05T20:38:43.531085Z digest=sha256:0437f51bb2b9d071b1a3de55546ddc7f2f868ba6ea1323d5c0b683d49b32826c

Observation 83c5a31c-4149-44ed-9ab1-7fc09e8e59a0 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-05T20:38:44.353995Z digest=sha256:9bc13b7130b1cf0d06489caadc58142696a69ad4e30bcf977c827d33fecf9039

Observation 1fbf6ea0-7cd8-4b81-bfe3-a393024238ea · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-05T20:38:44.476870Z digest=sha256:07bec4f6f50ffb210f3015f1066804e33fd57d51d65dab245c84f2be2d31a453

Observation b9ba422a-1e65-40e7-b072-79bba00e6826 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-05T20:38:44.681192Z digest=sha256:1e94eed7dd2a7c916f39038deb8ab80ce1031915a8203e3208ec578063556083

Observation 7643122c-21f4-45fc-a5d1-d0bc85b18338 · outbound

This paper cites Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective.

Leveraging OS-Level Primitives for Robotic Action Management Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective

Reference 61

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source=pdf_text observed=2026-08-05T20:38:44.784210Z digest=sha256:a31d9db06fa8e069da8ed46967303188ffc6c666a840b4bd41d947039a24aa88

Observation 4a80da1b-09dc-400d-b817-543ccf1ad32d · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-05T20:38:44.130780Z digest=sha256:491808d7843360e477ee990f6a1c33c3f79eb130ce1b7500538fc8a5d4b262df

Observation 1bd6b839-6ce0-4d8e-92d6-093f9ec6d4b6 · outbound

This paper cites Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning.

Leveraging OS-Level Primitives for Robotic Action Management Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

Reference 63

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source=pdf_text observed=2026-08-05T20:38:44.250854Z digest=sha256:9682ecd7b82e8f2c22ef83c073fc5bd8318f0b564d3d1f7d2e091db503073170

Observation c0c610fc-ea36-40ea-bb7c-239d60ef6522 · outbound

This paper cites HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid.

Leveraging OS-Level Primitives for Robotic Action Management HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid

Reference 64

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source=pdf_text observed=2026-08-05T20:38:45.155081Z digest=sha256:2538c73fb27c4b7c666dd972dbe7d432c06c8ca8e8b9beb482a66b7d8811e1cb

Observation 027fc10b-ebc0-4df9-bfe8-a296145a0a7f · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-05T20:38:45.276998Z digest=sha256:8fb331a11cb4920550b4f31183ec115552346a0de6566b6026e5c32566ae7c7c

Observation c0e4b8d7-a301-417f-ad29-5cfb7f241b84 · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

Leveraging OS-Level Primitives for Robotic Action Management RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 66

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source=pdf_text observed=2026-08-05T20:38:44.557708Z digest=sha256:29693e0b43f9a2ae9cd86c2e357198afbb07350558bb8b4c6b1dc6f86e38fe1c

Observation 13d393e9-8b69-4fe8-8a73-c3a3660eb217 · outbound

This paper cites UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent.

Leveraging OS-Level Primitives for Robotic Action Management UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent

Reference 67

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source=pdf_text observed=2026-08-05T20:38:45.491893Z digest=sha256:98374c7a3c47f8df92573fcd394239023b6009c1370b53c6abf8172bc6343b00

Observation fca05ce9-c2d2-4ebf-9115-03fa26e61ee4 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-05T20:38:45.636988Z digest=sha256:10d3ce32f63bd4ac68407d8c4e89f3d9614748ffc76b9ab86c538d9bc4e0fee9

Observation b8a50294-3d51-4ab8-b6ae-ac7158af8ec7 · outbound

This paper cites Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement.

Leveraging OS-Level Primitives for Robotic Action Management Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement

Reference 69

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source=pdf_text observed=2026-08-05T20:38:44.914638Z digest=sha256:7fa22604d3676187d53b40a9b1d8d67e0d2ee3ab95a5368186ac80fa1701d799

Observation 136ced27-d24b-4806-a4e2-d43f97abf084 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-05T20:38:45.037874Z digest=sha256:a4b7f14657987c38f3acab2a530e7008bf6cbb21ba264696d21313796693fb4d

Observation ca899ae1-df83-4996-82ac-28983b243fd4 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Leveraging OS-Level Primitives for Robotic Action Management Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 71

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source=pdf_text observed=2026-08-05T20:38:46.042397Z digest=sha256:f1574dac39ab802a6eeafaa8200c6160800de552701c006049d8bf2db40de667

Observation 48d32bb1-d4b4-4f6f-b9e2-df1fdf276c30 · outbound

This paper cites Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.

Leveraging OS-Level Primitives for Robotic Action Management Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation

Reference 72

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:46.172519Z digest=sha256:344c07fca4ab1bda5268f94cd5c9d5fa19a755381ff0465d52aab3dfbd2c46f6

Observation 05c92e03-3b09-4f49-ac03-105ae0523c23 · outbound

This paper cites Generalizable Humanoid Manipulation with 3D Diffusion Policies.

Leveraging OS-Level Primitives for Robotic Action Management Generalizable Humanoid Manipulation with 3D Diffusion Policies

Reference 73

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source=pdf_text observed=2026-08-05T20:38:45.377245Z digest=sha256:2e29e54904e21d7aa094d1ecba3a1270ade08d6587bf324a3d9ff0452134f2b2

Observation 73899475-a3f9-4248-aae6-fe606603b262 · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

Leveraging OS-Level Primitives for Robotic Action Management SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 76

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:45.767775Z digest=sha256:366b2edf571b7232c7ecb03e14a0616aec413614a1cb02413c11b3e763f17d89

Observation 98429294-9da8-470d-bcb3-5edc86335c1d · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-05T20:38:45.885210Z digest=sha256:451bdb2d135ccd324b1c3131c16b271324853087445e4ce15ae816d737a713b4

Observation bdeeba0a-68fa-4185-971b-ddc3d4c22121 · outbound

This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.

Leveraging OS-Level Primitives for Robotic Action Management CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 78

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source=pdf_text observed=2026-08-05T20:38:45.967218Z digest=sha256:67aeb2c83fbcca1f71601303b4e3b25d3d1d37a166bd61e7a1ab94e72530d40f

Observation 2cbb195e-7fb0-4695-8fa5-abad61c589d2 · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

Leveraging OS-Level Primitives for Robotic Action Management 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:46.276434Z digest=sha256:ceb8d234143822aceca1df9cdf5ea23adfe5ce9b8fc5464971a2fb48e27ee579

Observation 4db4bc76-bff4-4033-bc53-be2a6900b868 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Leveraging OS-Level Primitives for Robotic Action Management Planning with Diffusion for Flexible Behavior Synthesis

Reference 2022

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:38:41.126444Z digest=sha256:c4f3e0d3d6f492303b5099d64ca8d4e6ad861237e8e39c296867c980a136e211

Observation be5436a3-f2c3-448e-8a8d-e0f9b2719e5b · outbound

This paper cites PAPRAS: Plug-And-Play Robotic Arm System.

Leveraging OS-Level Primitives for Robotic Action Management PAPRAS: Plug-And-Play Robotic Arm System

Reference 2023

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no resolver link, observed 2026-08-05T20:38:41.512661Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:38:41.512661Z digest=sha256:5cf38a413df9c2888477f696e8e84d1667f6d118a7fc48e6a4baf54e490d18da

Observation d3beec0d-b65d-4151-8541-911751692d60 · outbound

This paper cites Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models.

Leveraging OS-Level Primitives for Robotic Action Management Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

Reference 2024

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verified exact
local_arxiv, observed 2026-08-05T20:38:47.288310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.394363Z digest=sha256:29f683065cdff63af1ce39bffa448ceb86cd53d1a4b9b38274aebbba33130b99

Observation ffa10a51-5003-4816-bef1-8b677197be74 · outbound

This paper cites an unresolved cited work.

Leveraging OS-Level Primitives for Robotic Action Management Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:38:48.412045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:38:38.789049Z digest=sha256:1fe205640e2c2b0605071d2cc68a8b9e4531702b2afe37a7d25fb9ddd2365763

Pith citing papers

Observation 32701a5b-ac7c-47db-8e8d-dd66df782d4d · inbound

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models cites this paper.

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models Leveraging OS-Level Primitives for Robotic Action Management

Reference 39

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verified exact
arxiv_id, observed 2026-05-15T18:40:14.514084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T18:39:58.095112Z digest=sha256:deffaa53369b3888164d9d125b03427afa836196a18ca11f5a759926745dc701

Observation 63a6509b-005c-4a59-a70b-d1b17c8b8b59 · inbound

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation cites this paper.

Escaping the Diversity Trap in Robotic Manipulation via Anchor-Centric Adaptation Leveraging OS-Level Primitives for Robotic Action Management

Reference 33

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verified exact
arxiv_id, observed 2026-05-11T02:25:53.091430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T02:25:23.710842Z digest=sha256:eba75e5f25c7bc6bd0ae01d33af53553a410c1bcb4b5ead7233016d8e40db13b

Observation db8d78d1-161f-4bd9-a994-d6ffd0241b0c · inbound

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models cites this paper.

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models Leveraging OS-Level Primitives for Robotic Action Management

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:09:43.375126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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